<h2 id="replication-package-for-let-the-punishment-fit-the-criminal-an-experimental-study">Replication Package for &quot;Let the Punishment Fit the Criminal: An Experimental Study&quot;</h2>
<p>This package contains code and data for replication of the results reported in Montag, Josef and James Tremewan &quot;Let the Punishment Fit the Criminal: An Experimental Study.&quot; <!-- Forthcoming in *Transport Policy*. --></p>
<p><strong>Authors</strong>:</p>
<p><strong>Josef Montag</strong> | josef.montag@gmail.com<br />
International School of Economics<br />
Kazakh-British Technical University</p>
<p><strong>James Tremewan</strong> | james.tremewan@wu.ac.at@gmail.com<br />
Vienna University of Economics and Business, and<br />
Vienna Center for Experimental Economics, University of Vienna</p>
<!-- The final publication is available at [https://doi.org/10.1016/j.tranpol.2017.07.018](https://doi.org/10.1016/j.tranpol.2017.07.018). -->
<h3 id="contents-of-the-package">Contents of the package:</h3>
<ul>
<li><p><em>2_Replication_Code.R</em> is an R code that produces Table 1 (summary statistics) and replicates exact tests reported in the paper.</p></li>
<li><p><em>3_Replication_Code_Stata.do</em> and replicates regressions and results reported in Tables 1 to 4, A1, and A2.</p></li>
<li><p><em>4_Stata_Log_20170916.txt</em> is log from <em>3_Replication_Code_Stata.do</em>.</p></li>
<li><p><em>Data_Prepare.R</em> is a script that loads the raw dataset, prepares useful variables and produces analysis datasets at the subject and partner level used by the R and Stata scripts described above, saving them to the Data folder.</p></li>
<li><p>Folder <em>Data</em> contains the raw dataset &quot;DiffPunishData.ods&quot; and analysis datasets produced by <em>Data_Prepare.R</em>.</p></li>
<li><p>Folder <em>z-Tree</em> contains the z-Tree programs used to run the experimental sessions.</p></li>
</ul>
